System and Method for Dynamically Managing Message Flow

ABSTRACT

System and method for dynamically managing message flow. According to the example embodiments, an intermediary network device or a client device dynamically manages the flow of messages received from an electronic exchange by analyzing the client device&#39;s capabilities, such as CPU utilization. Based on a percentage of total CPU utilization, the level of throttling is dynamically adjusted, such that if the percentage of CPU utilization, or load, increases, then throttling is increased from a lower level to a higher level. Similarly, if the percentage of CPU utilization decreases significantly enough, then throttling is decreased to a lower level.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.12/910,027 filed Oct. 22, 2010, entitled “System and Method forDynamically Managing Message Flow,” which is a continuation of U.S.patent application Ser. No. 12/180,942 filed Jul. 28, 2008, now U.S.Pat. No. 7,844,726, entitled “System and Method for Dynamically ManagingMessage Flow,” the contents of which are fully incorporated herein byreference.

FIELD OF INVENTION

The present invention is directed toward electronic trading. Morespecifically, the present invention is directed toward dynamicallymanaging message flow.

BACKGROUND

At one time, there were only open-outcry exchanges where traders,specifically buyers and sellers, would come together to trade in person.With the advent of electronic trading, traders can participate at theirclient devices from remote distances by communicating over physicalnetworks with electronic exchanges that automatically match bids andoffers.

In particular, subscribing traders are connected to an exchange'selectronic trading platform by way of a communication link and throughan application program interface to facilitate real-time electronicmessaging between themselves and the exchange. The electronic tradingplatform includes at least one electronic market, which is at the centerof the trading system and handles the matching of bids and offers placedby the traders for that market. The electronic messaging includes marketinformation that is distributed from the electronic market to thetraders via an electronic data feed. Once the traders receive the marketinformation, it may be displayed to them on their trading screens. Uponviewing the information, traders can take certain actions including theactions of sending buy or sell orders to the electronic market,adjusting existing orders, deleting orders, or otherwise managingorders. Traders may also use automated tools on their client devices toautomate these and additional actions.

Although the amount or type of market information published by anelectronic exchange often differs from exchange to exchange or frommarket to market, there are generally some standard pieces ofinformation. Market information may include data that represents justthe inside market. The inside market is the lowest available offer price(best ask) and the highest available bid price (best bid) in the marketfor a particular tradeable object at a particular point in time. Marketinformation may also include market depth. Market depth refers toquantities available at the inside market as well as quantities that maybe available at other prices away from the inside market. The quantityavailable at a given price level is usually provided by the exchange inaggregate sums. In other words, an exchange usually provides the totalbuy quantity and the total sell quantity available in the market at aparticular price level in its data feed. In addition to providing orderbook information such as price and quantity information, electronicexchanges can offer other types of market information such as the openprice, settlement price, net change, volume, last traded price, the lasttraded quantity, and order fill information.

Due to the massive amounts of market updates received from an electronicexchange, the central processing unit(s) (CPU) of client devices can beextremely overwhelmed. Client devices often struggle to balance themessage processing load with other activities such as responding touser's actions, because most often traders want access to as much ofthis information as quickly and as accurately as possible so that theycan make the most effective and efficient trades. For example, clientdevices may experience sluggish responsiveness to user actions, lostnetwork messages or delayed market information updates, or when tradingwith automated tools the tools may have a slow response or base theirdecision on out-of-date information, which may all lead to lostopportunities for the trader.

In an attempt to limit the load on the network and client devices,electronic exchanges often limit the market depth offered as marketinformation. For instance, an electronic market might offer only “5”levels of market depth, which includes the quantities available at thecurrent top “5” buy prices and the quantities available at the currenttop “5” sell prices. Despite the attempts made by electronic exchangesand others to improve and control the distribution of marketinformation, there are still many disadvantages to the current methodsof distribution and processing and client systems continue to sufferfrom the amount of messages received from electronic exchanges.

As more traders begin trading in an electronic trading environment, theamount of message traffic and the load on the client devices' CPU's islikely to continue growing at an increased rate and, at least duringthose times, client devices will continue to have difficulty maintainingnear real-time data processing. In an industry where speed and accuracyare of the utmost importance, receiving delayed or inaccurate marketinformation can be extremely detrimental to a trader and can possiblycost the trader hundreds, thousands, or even millions of dollars.

SUMMARY

The embodiments described herein provide a system and method fordynamically managing message flow. To illustrate the present inventionand aspects thereof, the following description, including the figuresand detailed description, provides examples that can be used or readilymodified by one of ordinary skill to generate a system or method thatbenefits from the teachings described and claimed herein.

Currently, electronic exchanges send a massive amount of messagescontaining market information to intermediary network and clientdevices. These devices can become extremely overwhelmed andoverburdened, such that the client device may become unresponsive ordelayed in updating market information on the graphical user interface.This can be detrimental for a trader who anticipates receiving the mostup to date market information to make efficient and effective trades.

The system and method are based on dynamically throttling, orcontrolling the rate of message updates processed by a client device tobalance CPU processing and system responsiveness. CPU utilization can beaffected by, for example, market activity, system busyness, or traderactions on the client device such as opening applications or openingadditional trading workspaces. Dynamically throttling and managingmessage flow based on the CPU utilization will allow the client deviceto stay responsive during a situation that might otherwise decreasereal-time system responsiveness. It should be understood thatdynamically throttling and managing message flow can be based on otherresources for example, message rate, known as the rate that messages arereceived, or message latency, known as the time it takes for a givenmessage to be processed. However, the following examples focus on CPUutilization to measure what level of throttling may be applied toincoming messages.

According to the example embodiments, the client device dynamicallymanages the flow of messages received from the electronic exchange orintermediary network device by monitoring the client device'scapabilities, for example CPU utilization. CPU utilization may bedefined as a range, such as “minimal”, “low”, “medium”, “high”, and“critical”. Specifically, the “minimal” amount CPU utilization would beabout below “30%”; a “low” amount of CPU utilization would be aboutbetween “31-50%”; a “medium” amount of CPU utilization would be aboutbetween “51-70%”; a “high” amount of CPU utilization would be aboutbetween “71-90%”; and a “critical” amount of CPU utilization would beabout above “90%”.

Based on a percentage of CPU utilization, a throttling component locatedwithin the client device dynamically adjusts the level of throttling tocontrol the message flow to be processed by the processing component.For example, if the percentage of CPU utilization, also known as “load,”increases, then throttling is increased from a lower level to a higherlevel. If at a later time the percentage of CPU utilization decreasesenough, then throttling is decreased to a lower level. It should beunderstood that the effect of increased throttling is a slower rate ofmessages for the processing component located within the client deviceto process. Likewise, the effect of decreased throttling is a fasterrate of messages for the client device to process. For example,processing may include updating market information displayed by thegraphical user interface or processing market information to be used byother client device components. It should also be understood thatdynamically throttling and managing message flow may take place at anintermediary device as well as a client device. The followingembodiments are not limited to the location at which dynamic throttlingoccurs.

According to another example embodiment, multiple levels of throttlingare defined to exercise different levels of control over the messagerate. Each level of throttling is characterized by the amount of timemessages are delayed by the throttling component before passing them toother client device's components, such as the processing component. Forexample, “minimal” may be the lowest and “critical” may be the highestlevel of throttling.

Each level of throttling has an associated hold (message delay) time.For example, if the hold time for level “low” is defined as 20milliseconds, then the minimum interval between processing messages is20 milliseconds. All messages related to the same tradeable object thatwere received during this period of time may be combined into a singlemessage and then passed to the processing component when the hold timelapses. In some cases, this may be done by keeping just the latestmessage and ignoring all the previous messages for the same tradingobject. If a new market message is not received within the defined holdtime of 20 milliseconds, then the next received message will immediatelybe passed from the throttling component to the processing component orother components running on the client device. Likewise, the hold timefor level “medium” throttling may be defined as 30 milliseconds, suchthat the minimum interval between processing messages is 30milliseconds. If the level of throttling increases before the hold timelapses, then the messages being held will be held for an increasedamount of time. Likewise, if the level of throttling decreases beforethe hold time lapses, then the messages will be held for less time.

It should be understood that as the level of throttling increases, thedefined hold time also increases and vice versa. Changing the level ofthrottling by the throttling component results in increasing ordecreasing the rate of message updates passed to the processingcomponent or other client device components.

According to yet another example embodiment, some levels of throttlingmay inspect the contents of the message to decide whether it can bedelayed or should be immediately passed to the processing componentwithin the client device. For example, some levels of throttling mayconsider messages containing inside market information or information tobe used by automated tools as “high priority” messages to a trader. Ifthe client device is within such a level of throttling, these messagesmay be passed to the processing component without being delayed.

According to the example embodiments, the percentage of CPU utilizationis routinely monitored and based on the percentage, the level ofthrottling will either be increased or decreased one or more level at atime. Specifically, when the percentage of CPU utilization becomes“high,” the throttling component will increase throttling by one or morelevel, for example, from “minimal” to “low.” The effect of increasingthrottling by one level is that the messages will be stored for a longerhold time before being sent to the processing component. Similarly, whenthe percentage of CPU utilization becomes “minimal,” the throttlingcomponent will decrease throttling by one or more level. The effect ofdecreasing throttling by one or more levels is that the messages will bestored for a shorter hold time before being sent to the processingcomponent. Additionally, if the percentage of CPU utilization stays inthe “low” range for a configurable amount of time, the throttlingcomponent will decrease throttling by one or more level to throttle aslittle as possible while maintaining system responsiveness.

According to an additional embodiment, throttling may be increased tothe highest, or near highest, level of throttling in one step, insteadof modifying throttling one level at a time. This is extremely usefulwhen the increase in CPU utilization is predictable and temporary.Specifically, the throttling component increases throttling to thehighest level when a condition that may lead to the CPU overload isexpected, and remains at that level of throttling until the conditionhas ceases to exist. For example, when a trader is opening a tradingworkspace, the client device may jump to the highest level of throttlingin order to keep the system as responsive as possible. As soon as thetrading workspace is open, the level of throttling will be reduced tothe initial level instead of decreasing one level at a time.

According to an alternative embodiment, if the percentage of CPUutilization exceeds “critical,” throttling is increased to the highestlevel and then decreased one level of throttling at a time after the CPUutilization has gone below a configurable level, for example, below the“medium” or “low” level. This is very useful when there is an unexpectedincrease in CPU utilization, for example, when an unemployment number isannounced or the trader starts utilizing the computer to run otherapplications. In this instance, the client device may be completelyoverwhelmed with messages from the electronic exchange or intermediarynetwork device and increasing throttling to the highest level will allowthe system to maintain responsiveness.

According to the example embodiments, a client device may have more thanone CPU, and one of the CPUs may be busier than other CPUs.Specifically, the load may not be evenly distributed across all CPUs ona client device. In this instance, the client device may determine thepercentage of CPU utilization in multiple ways. For example, the clientdevice may analyze the busiest CPU, where less busy CPUs aredisregarded; calculate a total CPU utilization, where the total amountof CPU usage is calculated over all CPUs; or use a weighted average ofthe busiest and the total CPU utilization. These methods of determiningthe percentage of CPU utilization will be described further in detail inupcoming sections.

Other examples are provided herein. Modifications may also be made tothe system and methods without departing from the spirit or scope of theinvention. Additional features and advantages of the embodiments will beset forth in the description that follows. The features and advantagesof the example embodiment may be realized and obtained through theembodiments particularly pointed out in the appended claims. These andother features will become more fully apparent from the followingdescription, figures, and appended claims, or may be learned by thepractice of the example embodiments as set forth hereinafter.

BRIEF DESCRIPTION OF THE DRAWINGS

Example embodiments are described herein with reference to the followingdrawings, in which:

FIG. 1 is a block diagram illustrating a trading system for dynamicallymanaging the flow of message in an electronic trading environment;

FIG. 2 is a block diagram illustrating the trading system thatdynamically managing a message received from the electronic exchange;and

FIG. 3 is a flow chart illustrating an example method for dynamicallymanaging the flow of message in an electronic trading environment.

DETAILED DESCRIPTION

The present invention is related to dynamically managing message flow.To illustrate aspects of the present invention, a system and method areillustrated in example form using the drawings referred to herein. Oneof ordinary skill in the art will recognize, however, that such examplesmay be quickly and readily adaptable using the teachings describedherein. Aspects of the present invention are protected by theaccompanying claims. Limitations from the patent specification shouldnot be improperly incorporated into the claims unless explicitly statedor otherwise inherently known.

I. A First Example Trading System

FIG. 1 illustrates an example electronic trading system in an electronictrading environment. In this example, the trading system comprises aclient device 102 that accesses an electronic exchange 104 through agateway 106. Router 108 is used to route messages between the gateway106 and the electronic exchange 104. The electronic exchange 104includes a computer process (e.g., the central computer) that matchesbuy and sell orders sent from the client device 102 with orders fromother client devices (not shown). The electronic exchange 104 may listone or more tradeable objects for trading. While not shown in FIG. 1 forthe sake of clarity, the trading system may include other devices thatare specific to the client site like middleware and security measureslike firewalls, hubs, security managers, and so on, as understood by aperson skilled in the art.

Regardless of the types of order execution algorithms used, theelectronic exchange 104 provides market information to the subscribingclient device 102. Market information may include data that representsjust the inside market. The inside market is the lowest sell price (bestask) and the highest buy price (best bid) at a particular point in time.Market information may also include market depth. Market depth refers toquantities available at the inside market and can also refer toquantities available at other prices away from the inside market. Thequantity available at a given price level is usually, although notnecessarily, provided by the host exchange in aggregate sums. In otherwords, an exchange usually provides the total buy quantity and the totalsell quantity available in the market at a particular price level in itsdata feed. The extent of the market depth available to a trader usuallydepends on the exchange. For instance, some exchanges provide marketdepth for all (or most) price levels, while some provide only quantitiesassociated with the inside market, and others may provide no marketdepth at all. Additionally, the exchange 104 can offer other types ofmarket information such as the last traded price (LTP), the last tradedquantity (LTQ), and order fill information.

The computer employed as the client device 102 generally can range froma hand-held device, laptop, or personal computer to a larger computersuch as a workstation with multiple multiprocessors. Generally, theclient device 102 includes a monitor (or any other output device) and aninput device, such as a keyboard, a trackball, and/or a two orthree-button mouse to support click based trading, if so desired. Oneskilled in the art of computer systems will understand that the presentexample embodiments are not limited to any particular class or model ofcomputer employed for the client device 102 and will be able to selectan appropriate system.

The computer employed as the gateway 106 generally can range from apersonal computer to a larger or faster computer. Generally, the gateway106 may additionally include a monitor (or any other output device),input device, and access to a database, if so desired. One skilled inthe art of computer systems will also understand that the presentexample embodiments are not limited to any particular class or model ofcomputer(s) employed for the gateway 106 and will be able to select anappropriate system.

It should be noted that a computer system that may be employed here as aclient device or a gateway generally includes a central processing unit,a memory (a primary and/or secondary memory unit), an input interfacefor receiving data from a communications network, an input interface forreceiving input signals from one or more input devices (for example, akeyboard, mouse, etc.), and an output interface for communications withan output device (for example, a monitor). A system bus or an equivalentsystem may provide communications between these various elements.

In general, it should be understood that the devices described hereincould include hardware objects developed using integrated circuitdevelopment technologies, or yet via some other methods, or thecombination of hardware and software objects that could be ordered,parameterized, and connected in a software environment to implementdifferent functions described herein. Also, the hardware objects couldcommunicate using electrical signals, with states of the signalsrepresenting different data.

It should also be noted that the client device 102 generally executesapplication programs resident at the client device 102 under the controlof the operating system of the client device 102. Also, the gateway 106executes application programs resident at the gateway 106 under thecontrol of the operating system of the gateway 106. In other embodimentsand as understood by a person skilled in the art, the function of theapplication programs at the client device 102 may be performed by thegateway 106, and likewise, the function of the application programs atthe gateway 106 may be performed by the client device 102.

The actual electronic trading system configurations are numerous, and aperson skilled in the art of electronic trading systems would be able toconstruct a suitable network configuration. For the purposes ofillustration, some example configurations are provided to illustratewhere the elements may be physically located and how they might beconnected to form an electronic trading system. These illustrations aremeant to be helpful to the reader, and they are not meant to belimiting. According to one example illustration, the gateway device maybe located at the client site along with the trading station, which isusually remote from the matching process at the electronic exchange.According to this instance, the trading station, the gateway, and therouter may communicate over a local area network, and the router maycommunicate with the matching process at the electronic exchange over ahigh speed connection, such as Metro-Ethernet or OC3 (Optical Carrierlevel 3).

In another example illustration, the client site may be located on theactual grounds of the electronic exchange (for example, in the buildingof the exchange). According to this instance, the trading station, thegateway, and the router may still communicate over a local area network,but the router may communicate with the matching process at theelectronic exchange through another connection means other than thosepreviously listed. In yet another example illustration, the gateway maybe housed at, or near, its corresponding electronic exchange. Accordingto this instance, the client device may communicate with the gatewayover a wide area network, the Internet, or through the use ofMetro-Ethernet or OC3 or some other high speed connection. Further, itshould be understood that the gateway may instead be located remote fromthe client device and remote from the electronic exchange, which mightbe particularly useful in systems that include interconnection ofmultiple trading networks. Thus, one trading network might have gatewayaccess to an electronic exchange.

II. A Second Example Trading System

FIG. 2 shows a block diagram illustrating a trading system that providesthe dynamic management of message flow. Specifically, FIG. 2 includes anelectronic exchange 202, a gateway 204, a client device 206, and message208. Electronic exchange 202 may host one or more computer-basedelectronic markets. The functionality of electronic exchange 202,gateway 204, and client device 206 are the same as those described inrelation to FIG. 1. Also included in FIG. 2 is illustrative message 208.Message 208 contains market information relating to a tradeable object.Message 208 may include current inside market information, trade relatedinformation, market information relating to the price levels outside thecurrent inside market, or even market information intended for anautomated tool. Determining the actual contents of message 208 may beperformed at client device 206. It should be understood that thefollowing examples illustrate dynamically managing message flow at theclient device 206, but that this functionality could happen for example,at the gateway 204, or even possibly between the gateway 204 and clientdevice 206.

According to the example embodiment, electronic exchange 202 broadcastsmessages containing market information and the connected gateway 204receives the messages. Gateway 204 then sends the message 208 to clientdevice 206. However, once the message 208 arrives at the client device206, the client device 206 may dynamically manage the message 208.Within client device 206 are a throttling component, a processingcomponent, and other components used by the client device. Aftermonitoring the percentage of CPU utilization and determining what levelof throttling is needed, the throttling component controls the rate ofmessages to be processed by the processing component on client device206. Processing done by the processing component may include updatingthe GUI or passing the message to other applications at client device206.

Further, based on the current level of throttling applied by thethrottling component and the market information included in message 208,the throttling component either passes the message onto the processingcomponent, or throttles the market information. When the marketinformation is throttled the throttling component stores the marketinformation in a data structure for a defined hold time associated tothe level of throttling. Generally, data structures are used to storerelated market data such that it can be accessed and used efficiently.There are a variety of data structures known in the art; however, thedescribed example embodiments should not be limited to one specific typeof data structure or location for the data structure.

Specifically, a message containing market information relating to theinside market or information needed for an automated trading tool isgenerally higher priority to the trader, and the market information willbe sent to the processing component without delay. However, a messagecontaining market information not relating to the inside market isgenerally considered to be a lower priority to the trader, and willtherefore be throttled by the client system and the market informationwill be stored in a data structure to process after the associated holdtime has lapsed.

The market information contained in each message may be saved at clientdevice 206 in a data structure. If another message related to the sametrading object arrives while the previous message is being held forfuture processing, then these messages are combined and stored in thedata structure as a representation of the current state of the market asof the last known update from the exchange. Additionally, a conditioncan be defined to trigger a current data structure broadcast prior tothe expiration of the hold timer, such as if a message of a higherpriority arrives while there is a hold timer active due to the priorarrival of a lower priority message held in the data structure. Upon thetrigger of the condition all the messages as combined by the throttlingcomponent are passed onto the processing component. Held messages storedin the data structure will be processed by the client device based onthe amount of throttling that has been applied to control the rate ofupdates.

III. Dynamically Managing the Flow of Messages

FIG. 3 is a flow chart illustrating an example method for dynamicallymanaging message flow. It should be understood that the flow chart onlyshows the functionality and operation of a possible implementation ofthe present embodiments. In this regard, each block may represent amodule, a segment, or a portion of the program code, which includes oneor more executable instructions for implementing specific logicalfunctions or steps in the process. Alternative implementations areincluded within the scope of the example embodiments of the presentinvention in which functions may be executed out of order from thatshown or discussed, including substantially concurrent or in reverseorder, depending on the functionality involved, as would be understoodby those reasonably skilled in the art of the present invention.

At step 302, how the percentage of CPU utilization is determined isdefined. This can be done by a trader, user, or possibly hard-coded intothe client system. It should be understood that a client device may havea single CPU or more than one CPU, and that each CPU may have its owncapabilities. According to the example embodiments, monitoring theclient device includes monitoring all CPUs and determining a CPUutilization to be used for throttling of messages. A client device mayrely on the busiest CPU, calculate the Total CPU utilization, or use aweighted average of CPU utilization (where weights are applied to thebusiest CPU and the Total CPU utilizations). Regardless of what methodis used, determining CPU utilization as a metric, such as a percentage,relative to the total CPU resources available on a client device, isnecessary for dynamically managing message flow.

In one example embodiment, a percentage of CPU utilization may beobtained by monitoring the busiest CPU. According to this example, theclient device monitors only the busiest CPU and disregards any otherCPU. In this example, if there are four CPUs, one of which is has 100%utilization and the other three are has 20% utilization, then only thebusiest CPU will be monitored and the percentage of CPU utilization usedfor determining the leveling of throttling to apply, will be 100%.

In another example embodiment, the percentage of CPU utilization may bedetermined by calculating the Total CPU utilization, which is defined asthe average of the CPU utilization across all CPUs.

Total CPU Utilization=(CPU 1 utilization+CPU 2 utilization . . . n)/n

For example, if there are four CPUs, one of which is has 100%utilization and the other three using 20% utilization, then the totalCPU utilization, according to the above formula, will be Total CPUUtilization=(100%+20%+20%+20%)/4=40%. The total CPU utilization would bere-calculated each time CPU utilization is monitored periodically, at adefined increment of time, or upon a user-defined event. As shown by theprevious two examples, the difference between the busiest CPU and thetotal CPU calculations may be significant.

In an alternative embodiment, the percentage of CPU utilization may bedetermined by using a weighted average of the Total CPU, calculationshown above, and busiest CPU utilization. In this example, a weight (w),valued between “0” and “1,” is applied to the Total CPU utilization andthe busiest CPU utilization. The following calculation is used fordetermining the weighted average:

Weighted Average=(w*Total CPU)+((1−w)*Busiest CPU)

In this example, based on different weights that are applied to thetotal CPU and the busiest CPU utilization, the weighted average mayresult in a percentage in between the total CPU and the busiest CPU. Forexample, if a weight of “0.5” is applied to each the total CPU and thebusiest CPU then the weighted average calculation, according to theabove formula, will be Weighted Average=(0.5*40%)+((1−0.5)*100%)=70%. Itshould be understood that weights of different values may also beapplied to the total CPU and the busiest CPU. It should be understoodthat weights of different values may be applied to a CPU, as long as thetotal weight equals “1.”

At step 304, the client device determines the CPU utilization and whatpercentage of the CPU is being used. The client device determines thepercentage of CPU utilization using one of the defined methods describedabove. As the load on the CPU is continually changing, the client devicemay monitor the percentage of CPU utilization in a user configurableincrement of time, for example, every 5 seconds. In an alternativeembodiment the increment of time may also be dynamically determinedbased on the rate of messages received from the electronic exchange orintermediary network device. For example, if the rate of messages isvery high, then the client device will monitor the percentage of CPUutilization more often than if the rate of messages is slow.

The percentage of CPU utilization will fall into one of the followingranges: “minimal” (i.e., “0-30%”), “low” (i.e., “31-50%”), “medium”(i.e., “51-70%”), “high” (i.e., “71-90%”), and “critical” (“90%+”). Itshould be understood that the percentages associated to each range maybe defined by the user.

At step 306, the client device compares the percentage of CPUutilization to the defined ranges of “minimal”, “low”, “medium”, “high”,and “critical.” Comparing the percentage of CPU utilization to thedefined ranges of utilization is done to determine if throttling needsto be increased, decreased, or maintained at the current level.

At step 308, the client device determines that the CPU utilization iseither “high” (i.e., >0%<=90%) or is “minimal” (i.e., <=30%). Accordingto the example embodiments, in either case throttling must be modifiedto accommodate the changed flow of incoming messages, CPU utilization,and overall system responsiveness. Specifically, if the CPU utilizationis “high” then throttling is increased, and if the CPU utilization is“minimal” then throttling is decreased.

At step 310, the client device determines that throttling needs to beincreased, and the client device also determines how many levels toincrease throttling. According the one example embodiment, throttlingmay be increased one level at a time. Specifically, the percentage ofCPU utilization is monitored for example, every 5 seconds. If when theutilization is analyzed, the percentage of CPU utilization is in thehigh range, then the throttling component will increase throttling byone level. Based on this method, if there are 5 levels of throttling itwill take at least 25 seconds to go from the lowest level of throttlingto the highest level of throttling. In a situation where there is anunusual spike in CPU utilization, it may be useful to decrease the timeit takes to set the throttling to the highest level.

According to an alternative example embodiment, the throttling componentmay increase the level of throttling to the maximum level instead ofbeing modified one level at a time. Specifically, if the client devicedetects a condition such as an unusually high load on the CPU, such thatthe percentage of CPU utilization is in the “critical” range, then thethrottling component may immediately increase the level of throttling tothe highest level instead of going through the multiple levels ofthrottling. This method is useful when important market news is beingreleased or when there is extremely high market activity. Similarly,this method may also be useful in situations where the client systemknows in advance that there will be a temporary spike in CPUutilization, such as when opening up multiple trading workspaces,closing windows, etc.

At step 312, the client device determines that throttling needs to bedecreased and the client device also determines how many levels todecrease throttling. According to the example embodiments, thethrottling component may decrease throttling one level at a time. Aspreviously described in relation to increasing the level of throttling,the percentage of CPU utilization is monitored, for example, every 5seconds. If the CPU utilization is in the “minimal” range, thenthrottling will be decreased by one level. It may occur that too muchthrottling is being applied when it is not needed, and thereforemessages are being throttled that the trader should be receiving andthat the client device and the processing component could handle withoutaffecting system responsiveness. In this situation it may be useful todecrease the time it takes to modify throttling to the minimum level.

According to an alternative embodiment, throttling may be instantlydecreased to the minimum level based on a condition, such an unusualdrop of CPU utilization, then the level of throttling may immediately bedecreased to a minimum instead of going through the multiple levels ofthrottling. This method is especially useful in situations describedabove in relation to increasing throttling to maximum. For example, whenimportant market news is being released or when there is extremely highmarket activity, the client device may increase throttling momentarilyand when the boost in CPU utilization is over, then throttling will bedecreased back to the original level. Similarly, as also described abovein relation to increasing throttling, decreasing throttling to theminimum may also be useful in situations where the client system knowsin advance that there will be a temporary spike in CPU utilization suchas opening up multiple trading work spaces, closing windows, etc. Assoon as the workspaces are finished opening or closing then throttlingmay be decreased to the original level. It should be understood that thelowest level of throttling corresponds to no throttling.

At step 314, the client device compares the determined percentage of CPUutilization to the defined range. The client device determines if thepercentage of CPU utilization is “low” (i.e., “31-50%”), and if it hasbeen in that range for more than a defined period of time. It should beunderstood that the period of time is user defined.

At step 316, the client device determines that the percentage of CPUutilization has been in the “low” range (i.e., “31-50%”), for more thana defined period of time, for example, 30 seconds. In this instance, theclient device will decrease the level of throttling by one level, suchthat the throttling component is not applying more throttling thannecessary. If after another 30 seconds has lapsed, the percentage of CPUutilization is still in the “low” range, then the throttling componentwill decrease throttling by another level.

At step 318, the client device determines that the percentage of CPUutilization has been in the “low” range for less than the defined periodof time. In this instance the level of throttling will be maintained atthe current level of throttling and when the defined period of time haslapsed the client device will re-evaluate if the level of throttlingshould be adjusted.

It should be understood that as throttling is adjusted from one level toanother the hold time for holding messages in the data structure is alsoadjusting. For example, if the hold time for level “low” is defined as20 milliseconds, then the minimum interval between processing messagesis 20 milliseconds. All messages related to the same tradeable objectthat were received during this period of time may be combined into asingle message representing the current state of the tradeable objectand then passed to the processing component when the hold time lapses.In some cases, this may be done by keeping just the latest message forthat treadeable object and ignoring all the previous messages for thesame trading object.

Additionally, if a new market message is not received within the definedhold time of 20 milliseconds, then the next received message willimmediately update the current state of the market and be passed fromthe throttling component to the processing component or other componentsrunning on the client device. Likewise, the hold time for level “medium”throttling may be defined as 30 milliseconds, such that the minimuminterval between processing messages is 30 milliseconds. If the level ofthrottling increases before the hold time lapses, then any pendingmessages will be held an increased amount of time relative to the holdtime of the increased level of throttling. Likewise, if the level ofthrottling decreases before the hold time lapses, then the messages willbe held for less time.

The above description of the example embodiments, alternativeembodiments, and specific examples, are given by way of illustration andshould not be viewed as limiting. For example, CPU utilization may bedetermined using a variety of approaches such as busiest CPU, total CPUutilization, or a weighted average. Additionally, message throttling maybe based on any system resource utilization level or any system ormarket event. Dynamically managing the flow of messages may take placeat the gateway, client device, or some place in between the gateway andthe client device. Further, many changes and modifications within thescope of the present embodiments may be made without departing from thespirit thereof, and the present invention includes such changes andmodifications.

It will be apparent to those of ordinary skill in the art that methodsinvolved in the system and method for dynamically managing the messageflow may be embodied in a computer program product that includes one ormore computer readable media. For example, a computer readable mediumcan include a readable memory device, such as a hard drive device,CD-ROM, a DVD-ROM, or a computer diskette, having computer readableprogram code segments stored thereon. The computer readable medium canalso include a communications or transmission medium, such as, a bus ora communication link, either optical, wired or wireless having programcode segments carried thereon as digital or analog data signals.

The claims should not be read as limited to the described order orelements unless stated to that effect. Therefore, all embodiments thatcome within the scope and spirit of the following claims and equivalentsthereto are claimed as the invention.

1. A method comprising: dynamically throttling, via a client device,market information received at the client device from an electronicexchange according to utilization of a monitored resource of the clientdevice; and displaying, via the client device, the dynamically throttledmarket information.
 2. The method of claim 1 further comprisingdynamically throttling the market information according to a selectedlevel of throttling.
 3. The method of claim 2 where the selected levelof throttling is associated with a hold time.
 4. The method of claim 3where displaying comprises displaying the market information accordingto expiration of the hold time.
 5. The method of claim 2 where theselected level of throttling is selected from a plurality of throttlinglevels according to a utilization level of the monitored resource. 6.The method of claim 5 further comprising receiving a throttlingmanagement strategy via the client device, where the selected level ofthrottling is selected based on the throttling management strategy. 7.The method of claim 6 where each throttle level of the plurality ofthrottling levels comprises a hold time.
 8. The method of claim 1 wherethe monitored resource comprises a central processing unit.
 9. Themethod of claim 1 where dynamically throttling the market informationcomprises adjusting a first level of throttling to a second level ofthrottling according to a change in a utilization level of the monitoredresource.
 10. The method of claim 1 where the monitored resourcecomprises a plurality of central processing units.
 11. The method ofclaim 10 where the utilization of the monitored resource comprisesutilization of a first central processing unit of the plurality ofcentral processing units.
 12. The method of claim 11 where the firstcentral processing unit comprises a busiest central processing unit ofthe plurality of central processing units.
 13. The method of claim 1where the utilization of a monitored resource is based on incomingmessages.
 14. A non-transitory computer readable medium havinginstructions recorded thereon which when executed by a processor causethe processor to carry out acts comprising: dynamically throttling, viaa client device, market information received at the client device froman electronic exchange according to utilization of a monitored resourceof the client device; and displaying, via the client device, thedynamically throttled market information.
 15. The non-transitorycomputer readable of claim 14 where the acts further comprisedynamically throttling the market information according to a selectedlevel of throttling.
 16. The non-transitory computer readable of claim15 where the selected level of throttling is associated with a holdtime.
 17. The non-transitory computer readable of claim 16 wheredisplaying comprises displaying the market information according toexpiration of the hold time.
 18. The non-transitory computer readable ofclaim 15 where the selected level of throttling is selected from aplurality of throttling levels according to a utilization level of themonitored resource.
 19. The non-transitory computer readable of claim 18where the acts further comprise receiving a throttling managementstrategy via the client device, where the selected level of throttlingis selected based on the throttling management strategy.
 20. Thenon-transitory computer readable of claim 19 where each throttle levelof the plurality of throttling levels comprises a hold time.
 21. Thenon-transitory computer readable of claim 14 where the monitoredresource comprises a central processing unit.
 22. The non-transitorycomputer readable of claim 14 where dynamically throttling the marketinformation comprises adjusting a first level of throttling to a secondlevel of throttling according to a change in a utilization level of themonitored resource.
 23. The non-transitory computer readable of claim 14where the monitored resource comprises a plurality of central processingunits.
 24. The non-transitory computer readable of claim 23 where theutilization of the monitored resource comprises utilization of a firstcentral processing unit of the plurality of central processing units.25. The non-transitory computer readable of claim 24 where the firstcentral processing unit comprises a busiest central processing unit ofthe plurality of central processing units.
 26. The non-transitorycomputer readable of claim 14 where the utilization of a monitoredresource is based on incoming messages.
 27. A message flow managercomprising: a central processing unit; a resource utilization monitorcommunicatively coupled with the central processing unit and configuredto monitor utilization of a resource; a throttler configured todynamically throttle received market information processing according tothe resource utilization monitor, where the market information is heldaccording to a level of throttling; and a display coupled to thethrottler and configured to display the throttled market informationaccording to the level of throttling.